micseb Goto Github PK
Name: Michel SEBAG
Type: User
Company: SOPRA STERIA
Twitter: MichelSebag
Location: France
Name: Michel SEBAG
Type: User
Company: SOPRA STERIA
Twitter: MichelSebag
Location: France
Library for exploring and validating machine learning data
R's data.table package extends data.frame. More info:
Interactive tools and developer experiences for Big Data on Google Cloud Platform.
Customizable SVG map visualizations for the web in a single Javascript file using D3.js
DeepDetect performance sheet
Bias detection and contextual evaluation tool for your AI projects
WebGL2 powered geospatial visualization layers
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Deep learning methods for feature selection in gene expression autism data.
Code repository for Deep Learning with Keras published by Packt
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Deep Learning Package in Python Based on The Deep Learning Tutorials and Theano
Deep Learning Cookbox
Test Suites for Validating ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.
How to predict credit dafaulting?
Deep Learning API and Server in C++11 with Python bindings and support for Caffe, Tensorflow, XGBoost and TSNE
Notebooks et slides pour la soirée DeepLearning avec le MeetUp "Toulouse Data Science"
Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind
Kaggle's competition for using Google's word2vec package for sentiment analysis
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.
A set of educational deep learning demos applied to the MNIST dataset
The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators
Deep learning for recommender systems
Deep Learning in H2O using Native GPU Backends
Determined: Deep Learning Training Platform
Automated deep neural network design via genetic programming
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.